Totally Integrated Data Analyser for your machines and labs.
TIDA (Totally Integrated Data Analyser) is a Windows software tool that connects to TCP/IP-enabled machines, controllers, and lab rigs. It acquires live signals, stores them as a structured time-series knowledge base, provides diagnostics views, and logs data to local or remote storage for digital twin and analytics use.
Designed for smart manufacturing departments, pilot lines, and SMEs that need a practical data layer between physical equipment and digital models.
TIDA integrates acquisition, viewing, logging, and integration into a single application. Internally, it is organised into four logical modules so engineers can reason about each function clearly.
TIDA stores all acquired signals as a time-series knowledge base. Each run can be tagged with machine, rig, asset, batch, experiment ID, and operator. This makes it easy to search and reuse data for digital twin calibration, offline analysis, and reporting.
The diagnostics view allows engineers to inspect runs like a multi-channel oscilloscope. Multiple signals are plotted on a common time axis; users can zoom, pan, add cursors, overlay runs, and compare experiments to identify process drift, tuning changes, or sensor faults.
A dedicated panel reports key values (selected KPIs), data volume (channels and events per minute), and velocity (latency from device to storage). This acts as a simple health indicator for the overall data pipeline during operation.
TIDA connects to TCP/IP-enabled devices and logs data to local files, network-attached storage, or configured IP-addressable databases. This provides a single, consistent logging mechanism that can serve both lab experiments and production cells.
Historian & Storage Behaviour
TIDA organises raw data into runs and channels on disk. Files and folders can be grouped by date, machine, or experiment. An index file allows quick lookup of runs for replay or export.
- Configurable folder and naming conventions for runs.
- Separation of raw signals and derived KPIs.
- Retention policies (e.g., keep recent data locally, archive older data).
- Export options for external tools using standard file formats.
Database Integration
For environments that require structured querying or dashboards, TIDA can push selected signals or KPIs to IP-enabled databases.
- Works with on-prem relational or time-series databases reachable over TCP/IP.
- Uses service endpoints (e.g., HTTP/HTTPS or driver-based connectors) as configured.
- Simple schema: timestamp, tag, value, and metadata fields.
- Digital twins and analytics tools connect directly to the same database.
Local, VPN, and Remote Use
The basic deployment keeps TIDA, devices, and storage inside the same intranet. When needed, IT teams can expose TIDA or the database through VPN or remote-access solutions without changing the core tool.
- Local-only for teaching labs and plant cells with no internet exposure.
- VPN-based access for remote experts using existing security policies.
- Database endpoints can remain inside secure network segments.
- No proprietary tunnels; connectivity respects your firewall rules.
Digital Twin & CPS Integration
TIDA is not a modelling platform. It provides a neutral, well-structured data layer that any digital twin or cyber-physical system can consume.
- Use the knowledge base to calibrate and validate digital twins.
- Feed online models with recent runs and live KPIs from the database.
- Share well-structured datasets with students, partners, or additional tools.
- Maintain clear separation between data acquisition, storage, and modelling.
TIDA treats everything as a network endpoint. Devices send or expose data over TCP/IP; TIDA acquires and normalises that stream; storage components persist it as files or database records. Other tools only interact with clearly documented outputs.
- Sources: PLCs, controllers, gateways, emulators, and lab rigs with IP connectivity.
- TIDA core: acquisition, knowledge base, diagnostics view, and logging.
- Storage: local disks, network-attached storage, and IP-addressable databases.
- Consumers: digital twins, analytics notebooks, dashboards, and reports.
| Aspect | Details |
|---|---|
| Deployment | Single Windows PC or server; optional NAS or database server on the same network. |
| Data sources | TCP/IP-enabled devices (controllers, gateways, emulators, lab instruments). |
| Storage | Local folders, mapped network drives, or configured databases. |
| Connectivity | Operates inside intranet; optional VPN for remote access as per IT policy. |
| Consumers | Any tool that can read files or query the database schema used by TIDA. |
| System requirements | Modern Windows OS, adequate disk for logs, and network access to devices. |
These scenarios are illustrative and can be adapted to specific organisations. The focus is on how a totally integrated data analyser behaves in real engineering environments.
A smart manufacturing lab connects teaching rigs (motor drives, process control loops, a small robot cell) over TCP/IP. TIDA acts as the common acquisition and logging tool. Faculty and students record experiments, replay runs in the diagnostics module, and export curated datasets for digital twin assignments.
An R&D team uses TIDA on a pilot line to log process signals, compare good and bad runs, and push selected KPIs to a central database. This reduces time spent on manual data collection and helps the team converge faster on stable parameter windows.
A small manufacturer equips legacy machines with TCP/IP gateways. Without deploying a full SCADA system, they use TIDA to monitor key signals, log data for later analysis, and gradually build a simple history of machine behaviour which is later used for improvement projects.
TIDA is supplied through a small network of authorised partners in key regions. For countries not listed below, please use the contact form and we will connect you to the nearest partner or handle the enquiry directly.
APAC
Website: dataflowsystems.sg
Email: sales@dataflowsystems.sg
Focus: Smart manufacturing labs, pilot lines, and discrete factories.
Website: sinotwin-automation.cn
Email: contact@sinotwin-automation.cn
Focus: Automotive, electronics, and industrial training centres.
Website: pacificsignalanalytics.com
Email: sales@pacificsignalanalytics.com
Focus: Australia, New Zealand, and Southeast Asia (excluding India & Singapore).
Website: divisa.tech
Email: support@divisa.tech
Focus: Enterprise Level Software and Embedded Systems within India and USA.
Europe
Website: eurodatadynamics.de
Email: sales@eurodatadynamics.de
Focus: Industrial R&D centres, pilot lines, and competence centres.
Website: nordicprocessdata.com
Email: contact@nordicprocessdata.com
Focus: Universities, green manufacturing labs, and process industries.
Website: integratedtwin-solutions.co.uk
Email: sales@integratedtwin-solutions.co.uk
Focus: Smart manufacturing testbeds and industrial training centres.
Americas
Website: northgridanalytics.com
Email: sales@northgridanalytics.com
Focus: University labs, innovation centres, and pilot production cells.
Website: latamsmartdata.com
Email: contact@latamsmartdata.com
Focus: Automotive, food & beverage, and mining-related manufacturing.
Website: andesprocessintelligence.com
Email: sales@andesprocessintelligence.com
Focus: Process industries and metallurgical plants.
Middle East & Africa
Website: gulfintegrateddata.com
Email: sales@gulfintegrateddata.com
Focus: Energy, metals, and advanced manufacturing hubs.
Website: maghrebsmartmfg.com
Email: contact@maghrebsmartmfg.com
Focus: University labs and industrial training facilities.
Website: continentaltwindata.com
Email: sales@continentaltwindata.com
Focus: Mining, minerals, and discrete manufacturing plants.
TIDA licensing depends on the number of devices, data volume, and deployment model. The table below summarises typical usage patterns. Final pricing is prepared after a brief discussion of your environment.
| Edition | Typical environment | Indicative scope |
|---|---|---|
| Lab EditionEducation | Universities, training centres, smart manufacturing labs | 1-3 PCs, a few rigs, local or NAS logging, core diagnostics and exports. |
| Pilot Line EditionR&D | Pilot lines, R&D cells, advanced laboratories | Multiple devices, higher data rates, database routing, extended diagnostics. |
| Cell EditionIndustry | Production cells or clusters of machines | More devices, continuous logging, database integration, remote-access support. |
Typical engagements start with a small pilot using one or two machines. This lets your team verify acquisition, diagnostics, and logging behaviour before scaling across multiple rigs or cells.
- Summarise your current setup (machines, controllers, gateways, simulators).
- Indicate how many devices and approximate signals per device.
- Mention whether you need database logging or file-based logging only.
- Specify if this is for a teaching lab, pilot line, or production environment.
You can also request a short technical call to discuss architecture, security, and constraints before any formal proposal is prepared.
TIDA Labs Inc.
63858 Greensview dr, Powell
Ohio - 43065
USA